AI/ML Tech Lead / Architect (Gen AI & Agentic AI)
Position Details
- Number of Positions: 1
- Position Type: Contract
- Projected Start Date: November 27 2025
- Projected End Date: November 27 2026
- Work Location: Minneapolis MN
- Remote: No (Talent must reside in Minneapolis at the time of submission)
- Face-to-Face Interview: Not required
- Background Check: Not required
- Drug Screen: Not required
- Work Authorization: Expiration date must match the uploaded document
Role Overview
We are seeking a highly skilled AI/ML Tech Lead / Architect with strong hands-on expertise in Machine Learning Generative AI and Agentic AI. The selected candidate will lead the architecture design development and deployment of advanced AI solutions. This role requires someone who can provide deep technical guidance collaborate across engineering and product teams and ensure the delivery of scalable and innovative AI capabilities.
Key Responsibilities
- Lead architecture and end-to-end development of AI/ML Generative AI and Agentic AI solutions.
- Provide hands-on technical leadership to engineering teams.
- Design scalable AI architectures and workflows aligned with enterprise standards.
- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
- Oversee model development optimization deployment and monitoring.
- Ensure best practices in AI safety reliability performance and governance.
- Drive innovation through experimentation with new AI frameworks LLMs and agentic architectures.
Required Skills
- Strong hands-on experience in AI/ML Generative AI and Agentic AI.
- Proven background as a Tech Lead or Architect preferably in enterprise environments.
- Expertise in ML model development LLM integration vector databases prompt engineering RAG automation and agent frameworks.
- Deep experience with cloud-based AI platforms (AWS Azure GCP).
- Ability to guide and mentor technical teams.
- Strong communication and architectural documentation skills.
AI/ML Tech Lead / Architect (Gen AI & Agentic AI)Position DetailsNumber of Positions: 1Position Type: ContractProjected Start Date: November 27 2025Projected End Date: November 27 2026Work Location: Minneapolis MNRemote: No (Talent must reside in Minneapolis at the time of submission)Face-to-Face In...
AI/ML Tech Lead / Architect (Gen AI & Agentic AI)
Position Details
- Number of Positions: 1
- Position Type: Contract
- Projected Start Date: November 27 2025
- Projected End Date: November 27 2026
- Work Location: Minneapolis MN
- Remote: No (Talent must reside in Minneapolis at the time of submission)
- Face-to-Face Interview: Not required
- Background Check: Not required
- Drug Screen: Not required
- Work Authorization: Expiration date must match the uploaded document
Role Overview
We are seeking a highly skilled AI/ML Tech Lead / Architect with strong hands-on expertise in Machine Learning Generative AI and Agentic AI. The selected candidate will lead the architecture design development and deployment of advanced AI solutions. This role requires someone who can provide deep technical guidance collaborate across engineering and product teams and ensure the delivery of scalable and innovative AI capabilities.
Key Responsibilities
- Lead architecture and end-to-end development of AI/ML Generative AI and Agentic AI solutions.
- Provide hands-on technical leadership to engineering teams.
- Design scalable AI architectures and workflows aligned with enterprise standards.
- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
- Oversee model development optimization deployment and monitoring.
- Ensure best practices in AI safety reliability performance and governance.
- Drive innovation through experimentation with new AI frameworks LLMs and agentic architectures.
Required Skills
- Strong hands-on experience in AI/ML Generative AI and Agentic AI.
- Proven background as a Tech Lead or Architect preferably in enterprise environments.
- Expertise in ML model development LLM integration vector databases prompt engineering RAG automation and agent frameworks.
- Deep experience with cloud-based AI platforms (AWS Azure GCP).
- Ability to guide and mentor technical teams.
- Strong communication and architectural documentation skills.
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